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Shixiang Shane Gu — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Shixiang Shane Gu
25
papers ·
274
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
A Minimalist Approach to Offline Reinforcement Learning
2021 · 164 citations
For SALE: State-Action Representation Learning for Deep Reinforcement Learning
2023 · 16 citations
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
2020 · 7 citations
Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters
2022 · 7 citations
Can Wikipedia Help Offline Reinforcement Learning?
2022 · 6 citations
Multimodal Web Navigation with Instruction-Finetuned Foundation Models
2023 · 6 citations
Weakly-Supervised Reinforcement Learning for Controllable Behavior
2020 · 5 citations
Generalized Decision Transformer for Offline Hindsight Information Matching
2021 · 5 citations
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning
2022 · 4 citations
Learning a Universal Human Prior for Dexterous Manipulation from Human Preference
2023 · 4 citations
Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning
2021 · 3 citations
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
2021 · 2 citations
Bi-Manual Block Assembly via Sim-to-Real Reinforcement Learning
2023 · 2 citations
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization
2021 · 1 citations
Human-centric Dialog Training via Offline Reinforcement Learning
2020
Top co-authors
Hiroki Furuta
· 5
Yutaka Matsuo
· 4
Ofir Nachum
· 3
Igor Mordatch
· 2
Sergey Levine
· 2
Tadashi Kozuno
· 2
Aleksandra Faust
· 1
Allen Z. Ren
· 1
Archit Sharma
· 1
Asma Ghandeharioun
· 1
Benjamin Eysenbach
· 1
Chelsea Finn
· 1
Topics
Offline RL
Value-Based
Model-Based RL
Exploration
Policy Gradient
Meta-RL
Safe RL
RLHF & Alignment
Multi-Agent
Game AI